Software Validation Engineer – ASIC / Embedded AI

Role Overview

As part of the AI Infrastructure Silicon Validation team, you will develop robust C++ applications to validate, stress-test, and troubleshoot AI infrastructure platforms. The role involves integrating third-party hardware SDKs and low-level APIs, including NVIDIA CUDA, and building reusable software frameworks to verify hardware functionality and performance.

We are seeking an independent engineer who can take ownership of technical requirements, implement clean and maintainable code, debug complex issues, and deliver reliable software with minimal supervision.

Key Responsibilities

• Design, develop, and maintain C++ validation applications for AI infrastructure and compute platforms.
• Integrate third-party SDKs and low-level APIs, particularly NVIDIA CUDA, to interact with compute hardware.
• Apply modern C++ and object-oriented programming principles to build modular, reusable, and maintainable software.
• Develop and maintain automated tests, validation suites, and stress-testing applications.
• Troubleshoot software defects, memory-management issues, concurrency problems, and API integration failures.
• Develop, compile, debug, and execute applications in a Linux environment using tools such as CMake and Make.
• Take ownership of assigned features from requirements analysis through implementation, testing, debugging, and documentation.
• Collaborate with cross-functional engineering teams to support hardware-software integration and validation activities.

Required Technical Skills

• Strong hands-on programming experience in C++, including C++14/C++17 or later standards.
• Solid understanding of object-oriented programming, including classes, inheritance, polymorphism, and memory management.
• Practical experience with CUDA APIs or SDK integration, preferably involving GPU or accelerator hardware.
• Proficiency in Linux-based software development and debugging.
• Experience with POSIX multithreading, pthreads, synchronization, and concurrent programming concepts.
• Familiarity with build systems such as CMake or Make.
• Strong problem-solving skills and the ability to work independently with minimal supervision.
• Experience writing clean, reliable, testable, and maintainable software.

Preferred Qualifications

• Experience developing software for hardware validation, silicon validation, AI infrastructure, GPUs, or accelerator platforms.
• Experience building unit tests, automated validation frameworks, or stress-testing utilities.
• Familiarity with Python scripting for test automation.
• Experience diagnosing memory leaks, race conditions, and low-level software integration issues.
• Approximately 6+ years of hands-on experience in complex hardware-software or systems software projects.